Vizro

Vizro

Tools and templates to create validated and maintainable data charts and dashboards

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Overview

Vizro-MCP is a Model Context Protocol (MCP) server for Vizro that works with an LLM to streamline the creation of Vizro dashboards and charts. It provides tools and templates designed to guide users through building a functioning Vizro chart or dashboard step by step, ensuring consistency and maintainability. The MCP server complements the Vizro framework by enabling context-driven, chat-based interactions that translate prompts into production-ready Vizro configurations. The MCP server supports MCP-enabled LLM clients, such as Cursor and Claude Desktop, allowing large language models to collaborate with Vizro in a structured way. As part of the Vizro monorepo, Vizro-MCP integrates with vizro-core and other Vizro packages, enabling seamless end-to-end generation from high-level requirements to visual components. This setup reduces manual coding, accelerates prototyping, and helps teams deliver scalable, production-ready dashboards. The project emphasizes tooling, templates, and a guided workflow for rapid Vizro development.

Details

Owner
mckinsey
Language
Python
License
Apache License 2.0
Updated
2026-02-07

Features

Step-by-step Vizro templates

Tools and templates to guide building a functioning Vizro chart or dashboard, ensuring consistent results.

LLM-assisted Vizro creation

Works alongside an LLM to help you create Vizro dashboards and charts.

MCP-enabled client compatibility

Compatible with MCP-enabled LLM clients such as Cursor or Claude Desktop for integrated workflows.

Monorepo integration

Part of Vizro's monorepo with a dedicated vizro-mcp package to enable seamless end-to-end generation.

Audience

LLM developersIntegrate Vizro-MCP into MCP-enabled LLM workflows to guide dashboard and chart creation.
Vizro usersLeverage the MCP server to build Vizro dashboards and charts with step-by-step templates.
Dashboard developersUse Vizro-MCP to accelerate production-ready dashboard development with LLM guidance.

Tags

MCPVizroLLMdashboardchartstemplatestoolsstep-by-stepproduction-readymonorepo